Keji Li

experimental neuroscientist, programmer, data miner

PhD. in psychology from Vanderbilt University, with neuroscience focus, also finished all non-field-work-classes of quantitative methods (statistical psychology) focus.

Postdoctoral fellow, Picower Institute for Learning and Memory, Massachusetts Institute of Technology. sponsored mentorship fellow. Main interest is in the local circuitry and algorithm in the early visual cortices. Current projects include the functional impact of excitation/inhibition imbalance in the Rett Syndrome, and the functional dissociation of extrastriate cortices in mouse.

Proficient in tools including extracellular electrode recording (single tungsten, linear array and Utah array), two photon calcium imaging, optical imaging with intrinsic signal, in vivo optogenetic stimulation, light microscopy and related histology, database administration and programming (shell, sql, python (scipy, scikit-image/opencv, sqlalchemy, Blender), C (python/numpy extension, opengl), opengl shader, R, MATLAB (psychtoolbox), C++, Qt).